Hospital-Based Medicine

Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

This review critically analyzes how machine learning is being used to support clinical decision-maki...

Nursing and Rehabilitative Care of the Elderly Using Humanoid Robots.

Japan's declining birth rate and increasing aging population prompted intercessory efforts towards r...

Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery.

Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science to...

Re: Hospital Volume and Outcomes of Robot-Assisted Partial Nephrectomy.

[A real-world study of paritaprevir/ritonavir-ombitasvir combined with dasabuvir in the treatment of genotype 1b chronic hepatitis C].

To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (...

Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm.

PURPOSE: Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require emergency depa...

[The robot-assisted system YunSRobot for soft endoscopy: a trial of remote manipulation on simulation models].

To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulati...

[Digitalization and artificial intelligence in orthopedics and traumatology].

In the course of digitalization it is becoming increasingly rare for medical documents to be handwri...

Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit.

OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learni...

Automated Risk Assessment for School Violence: a Pilot Study.

School violence has increased over the past ten years. This study evaluated students using a more st...

Multidisciplinary team for the diagnosis and treatment of 2 cases of primary intestinal yolk sac tumor.

Extragonadal primary yolk sac tumor of the intestinal tract origin is exceedingly rare. Through a mu...

Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.

OBJECTIVEIf not anticipated and prearranged, hospital stay can be prolonged while the patient awaits...

A machine learning approach to predict early outcomes after pituitary adenoma surgery.

OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative r...

Treatment of Chylothorax with Pleurodesis (A Lesser Known Complication of Behçet's Disease): A Case Report.

Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral...

Same-Day Conventional Different-Day Endoscopic Retrograde Cholangiopancreatography and Laparoscopic Cholecystectomy: A Multi-Center Retrospective Study.

Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potent...

[Big data and deep learning in preventive and rehabilitation medicine].

The digitalization in medicine has led to almost universal availability of information to different ...

Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: The auth...

Robotic and Sensor Technology for Upper Limb Rehabilitation.

Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for ...

Advancing In-Hospital Clinical Deterioration Prediction Models.

BACKGROUND: Early warning systems lack robust evidence that they improve patients' outcomes, possibl...

Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.

The intrinsic relationship between fluid volume and open wound size (%) has not been previously exam...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted ...